MajicWilson/Ghana-house-rentals-data-analysis

Exploratory data analysis of Ghana house rental data using Python # Ghana House Rental Data Analysis (Python) ## 📌 Project Overview This project analyzes housing rental data from Ghana using Python. The objective is to clean the dataset, explore rental price patterns, and identify key factors influencing rental prices. ## 📊 Dataset - Source: Public housing rental listings - Observations: 18,000+ - Variables: Location, region, price, bedrooms, bathrooms, furnishing status, etc. ## 🛠️ Tools & Libraries - Python - pandas - numpy - matplotlib - seaborn ## 🔍 Key Analyses - Data cleaning and preprocessing - Handling missing values and duplicates - Descriptive statistics - Rental price distribution analysis - Regional comparison of rental prices ## 📈 Key Insights - Rental prices are positively skewed - Urban regions have higher average rental prices - Furnished properties command higher rents ## 🚀 How to Run 1. Clone the repository 2. Install dependencies using `pip install -r requirements.txt` 3. Open the notebook in Jupyter ## 👤 Author Wilson Gyebi Asante MSc Big Data Analytics